Questions tagged [choice]

This is for questions about discrete choice modeling

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34 views

Calculating willingness to pay in mixed logit model with lognormally distributed price parameter

I am analyzing data from a discrete choice experiment (five attributes, including price attribute). For the mixed logit specification, I assumed normal distribution for the four non-price parameters; ...
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23 views

Testing of significant mean/median difference between two computed log-normal distributions

I don´t know if this is possible to test, but I have estimated two mixed logit regressions on two different datasets and the resulting coefficients of the independent variables are assumed to be ...
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6 views

Integrating case-specific variables in a conditional logit model

I am doing conditional logit (CL) analysis to model decisions. Next to alternative-specific variables I also have case-specific variables in the dataset. As far as I understand the CL, I can integrate ...
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1answer
12 views

Repeated Selection of 2 random options, how to model it

Probelem/Idea I am thinking of using an analysis with a methodology similar to the one ESPN is using to rank NBA players: ...
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24 views

How to implement nested logit model if the choice set for each individual is dynamic changing

I think this question is similar to Discrete choice model with different choice set for each sample, but that question does not have an answer. I have a dataframe in which individuals have dynamic ...
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8 views

How to choose scoring scheme for ordinal categorical variable?

I would like to perform logistic regression of skin damage by use of some drugs(all subjects will be applied with the same drug) with clinical change as ordinal categorical variable. Clinical change ...
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25 views

Endogeneity in Discrete Choice Models

Suppose we are trying to estimate a model to predict failure of a company as a function of some firm-level and macroeconomic variables using a logistic regression $Y_{it} = X_{it} \beta + \epsilon_{...
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9 views

Categorical dependent variable representing uneven intervals of hospital stays

I am trying to evaluate how a policy-change affected the number of hospital days per patient. I have claims-level data with lots of claim and patient variables. However, my dependent variable is a ...
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20 views

Interpretation of interaction terms in multinomial logit model

I'm having trouble interpreting the interaction terms of my multinomial logit model of data from a discrete choice experiment investigating seafood choices. Please find the R output below. ...
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19 views

collinearity issue with categorical variables

I've been working on a discrete choice experiment with a mixed logit model. The issue is, however, I'm getting the message saying "some variables are collinear - check your model specification&...
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45 views

Does it make sense to include alternative-specific variables that do not vary over individuals in a multinomial logit model?

I have a dataset of individual farms and I want to model the probability for a farm to select a certain type of irrigation (options: none, surface, sprinkler, drip, other). As independent variables I ...
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8 views

Comparing goodness of fit for the same (conditional logit) model across two extremely similar samples

I have two datasets from two discrete choice experiments conducted in parallel, at the same time and with the same sample of respondents. The choice tasks of both experiments had in common: the text ...
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11 views

Choice set in algdesign D-efficiency

I'm new in D-efficiency. I tried to do design a choice experiment using algdesign to do a D-efficiency design. So I have the follow code: ...
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14 views

Algdesign, D-efficiency indicators

I want to understand the indicators of a D-efficiency design: I have the following code ...
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20 views

In Choice experiment, can I have 2 alternative status quo in a choice set?

I designed a choice experiment of 3 attribute + payment attribute, with support.CEs package. The choice set have 2 improvement alternative (alt.1 and alt.2) + 1 alternative status quo (alt.3). However ...
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9 views

Are there models of choice that allow for dependence between choices

For example, say you were modelling the winner of a running race, with a binary outcome of win/not win. You had a vector of information for each runner (X). This includes things like recent form, ...
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7 views

In Choce Experiments (DCE) creating cards from scenario sets must be random?

It will be difficult for me to describe it in one sentence, I will use an example. I would like to know if I can arrange the cards in the block combining scenarios other than randomly. In Aizaki, H., &...
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1answer
64 views

Why isn't the probability of an event happening in $L$ days given the probability $p$ it happens on any day $\frac{(2^L - 1)}{p^{-L}}$?

I feel like this is probably a dumb question, but there is something I am fundamentally misunderstanding here. The problem is essentially the same as the one mentioned in this question. I understand ...
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1answer
13 views

"nested choice" multinomial model

I would describe a model (and solve with the stan software) a process like this: for i = 1...N consumers the i-th consumer is allowed to choose an item out of 7. 6 ...
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8 views

Choice experiment with non random options (not factorial desing)

I dont' know how to explain, so I will give an example: I want to know if people prefer Coca-Cola or PepsiCo, so I designed a choice experiment with 2 alternatives with 2 levels: Coca (Coca-Cola and ...
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33 views

Classification of logit and probit models

Savolainen et al. (2011) has a review of discrete choice models used in accident analysis. The paper offers a classification of these models (see image), but some models (e.g. 'Partial proportional ...
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16 views

Discrete choice model estimation for unique items

I want to estimate the parameters of a discrete choice model for an item (let's say a piece of stone). In the end, I want to predict a stone's attractivity or utility. Let's say there are 4 variables ...
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16 views

Mixure models with panel data

I am trying to estimate a discrete choice model with a latent class. Let's say that conditional on being in class $s$, a consumer chooses a product $i$ with the probability $P(i|s,\theta)$, where $\...
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1answer
20 views

Which choice model to analyse my binary stated choice experiment data to estimate willingess-to-pay?

I followed the recipe of a stated-choice experiment in political science https://doi.org/10.1093/pan/mpt024 (they call it "conjoint" but I think this term is debated). In the end I made the ...
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8 views

Randomisation uneven in a choice experiment - what could help to overcome associated problems?

We conducted a choice experiment of the type forced-choice, choose between A or B. A or B are products that are described using 5 attributes. These 5 attributes have different attribute levels that ...
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37 views

Which test should I use for a three alternative forced choice experiment?

I am running an online survey experiment where participants are randomly assigned to different treatment groups. They are asked to make a three alternative forced choice (3AFC) decision, i.e., pick A, ...
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92 views

nominal regression, kinda. What is the right terminology for this

tl;dr This looks cool, relates possible to discrete regression, but I don't know the term for what it is to do this. I want to learn more. It looks interesting and useful. Can you point me to ...
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8 views

Expected value of conditional choice probability [duplicate]

I would like to compute the conditional choice probability which is defined as follows \begin{equation} p_k=Prob(f(m_k)+u_k>f(m_i)+u_i, \forall i\neq k|m) \end{equation} where $u_i, i=1,...,N$ are ...
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24 views

Appropriate model for path choice data

I have data from a path choice experiment in which shopping mall visitors chose among different path alternatives at several intersections. Additionally, I have measures of spatial syntax for the ...
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1answer
24 views

Recalibration of constants with ordered logit for forecasting

I have estimated an order logit model: I have one utility function (without constant, in the form $\sum_i \beta_i * x_i$) with cuts and I estimated the $\beta_i$ and the cuts on revealed preference ...
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51 views

$R^2$ of Logistic Regression Without Intercept?

I am calibrating a logistic regression for a survey data which comes from a binary stated choice experiment. The stated choice experiment was an unlabeled one, which means that all the variables ...
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47 views

Discrete choice model with different choice set for each sample

Data I have observational data of $N$ rows (samples). In row $n$ individual $k_n \in \{1, \ldots, K\}$ from a population of $K \ll N$ individuals chooses one option $y^{k_n}_n$ from $J_n$ options, ...
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1answer
72 views

multilevel discrete choice model

Say a preference-survey asks respondents which of four products they prefer. For each product, I have the respondent's alternative specific covariate (let's say price) for each alternative included in ...
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34 views

Do I have a true within-subject design?

I am currently in the design phase for an experiment on different packaging attributes and their effects on an actual purchasing choice. In this context, I am asking myself a possibly trivial question:...
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24 views

Modeling and updating the reliability of two sources of information

I do not know the general framework this might fall under, apologies for the vague title. Assume that a decision maker's choice is dependent on two sources of information $f_1$ and $f_2$. Assume for ...
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201 views

How to estimate a nested logit model using mlogit in R in the case of panel data and degenerate branche?

I'm using a Discrete Choice Experiment. I have 9 choice sets with 3 alternatives (2 alternatives and an opt-out), the alternatives are described with 4 attributes. I want to use a nested logit model ...
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1answer
312 views

How to add Indivivual Specific Variables for unlabelled alternative (using interactions) using mlogit with R?

I’m using DCE with unlabelled alternatives, 9 choice set with 3 alternative each (2 option and Optout alternative), described with 4 attributes. I've started with a conditional logit (with only ...
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72 views

R MLogit 'system is singular' error

I'm running a choice model comparing how users choose between multiple options in an app. I have the data formatted for use with MLogit: Price and dist_rank_cat are features that vary by ...
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20 views

Choose number or nothing with machine learning

I want to do supervised learning. I have a labeled dataset. Each label is normally a real number between [0,1] corresponding to a location of a certain object in the data, or NAN if the object is not ...
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1answer
133 views

Statistical test for 3-way choice data

I have a data set of a 3-way mate choice experiment between species a, b and c. I aim to test whether males courted more often with females of their own species. The dependent variable is count data ...
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1answer
453 views

latent class model on choice data with gmnl - choosing starting values

I want to run a LCMNL (using the gmnl-package) on choice data. I read that starting values can influence class allocation since LCMNL can have several optima. I found the following example code that I ...
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1answer
263 views

nested logit with individual level fixed effect (panel data)

As is stated in the title, I have several questions concern the combination of nested logit and panel data. 1, Can we run nested logit with the individual fixed effect? this is useful when one has ...
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88 views

I'm trying to analyze my data using mlogit. I get singularity issues. I am very new to statistical modelling. Help appreciated!

The csv for the dataframe is here. Basically the column Mode represents the transportation choice available for the user to go to the airport, Choice represents the user's choice, and all the other ...
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1answer
199 views

Conditional logit or multinomial logit?

I have the following problem I need to use a discrete choice model to determine the time values (VOT) of 3 transport alternatives (car, bus and train). Looking at the literature of the discrete choice ...
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1answer
85 views

Logistic regression when the number of options differs by group?

I have data from a laboratory experiment in which I look at the effect of expanding the choice set on a particular option being chosen. The idea is that introducing an Option "B" reduces demand for an ...
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83 views

Experimental design for discrete choice response

I'm designing a survey where people need to choose one of three transportation alternatives. Here are the alternatives, their specific factors/attributes and the levels I intend to use for each: <...
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82 views

How to treat different status quo groups in a choice experiment?

I have a choice experiment where respondents choose between a status quo and one alternative. Before the choice questions, respondents are allocated to four different groups which determine the levels ...
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2answers
63 views

What is the appropriate test for a choice experiment where multiple subjects perform the experiment multiple times?

I'm testing multiple subjects in a choice task where they are either right or wrong. By chance they would choose the right answer 50% of the time. Each of my 11 subjects performs the test 24 times. To ...
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1answer
243 views

Probability of choosing the degenerate branch in a nested multinomial logit

This may be an obvious question, but I'm flummoxed. Let's say I've got a nested logit model with a degenerate nest—say, a healthcare choice model where the branches are Home vs. Hospital. The Home ...
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103 views

Independence of irrelevant alternatives practical example

I have frequently heard descriptions of the IIA problem for logit regression phrased in terms of the famous red bus/blue bus, or some direct metaphor for that thing. However, I was curious as to what ...